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Notes:
CVs can be uploaded with .doc, .docx or .pdf file extensions.
.rtf files cannot be accepted on the system. For new Members, the CV will be used to create an initial account which, once verified, will create a link to enable you to register and complete a full List account; you will not be able to apply for a job, or network, until you have done so.
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The List - Website Functional Update – May 2026
The List relaunches as a faster, smarter, career hub, integrating jobs, CV Drop, the Covenant Compendium and finally Corporate Membership. All to support you, employers and the Armed Forces community in a shifting and challenging employment market.
Provision of talent/SQEPs for your employer: please tell us if they are recruiting.
New & unique Compendium of Armed Forces Covenant signatories – is your employer listed here at https://bit.ly/3PjouXO, if not message us from the page.
Expanded Corporate Membership for employers – see this example: https://bit.ly/4d9Aa8B and contact us if you want your company to feature in a similar, but bespoke, manner as a List Corporate Member: https://bit.ly/435VdTx.
Finally, as a List Member, please also log in to check and update your List profile, remembering that you remain a List member for the duration of your working life either as a Job Seeker or In Business member.
Data Science Consultant (Defence & National Security)
Job Summary
Advertiser
Salary / Rate
Posted
Experis
£50,000
23rd May 2026
Location
Start Date
UK
Type
Job Sector
permanent
Defence
Our client, a growing tech organisation, urgently require a Data Science Consultant to join their Defence & National Security team. In order to be successful, you will have the following experience: Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.) Experienced within AWS-based infrastructure and services Excellent communication skills, able to work with customers to shape requirements Able and willing to obtain DV Clearance Within this role, you will be responsible for: Write high-quality Python code to develop data analytics and data science applications Design, build, and maintain scalable, production-ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere…
